The semiconductor company AMD plans to invest more than $10 billion in Taiwan’s AI and semiconductor ecosystem to fuel its next wave of chips. The company claims the investments would boost its sophisticated packaging capabilities, enable new research, and expand its work with local partners that now package many AMD CPUs.
“We are driving state-of-the-art silicon, packaging, and manufacturing technologies that enable higher performance,” AMD stated in a press statement, saying, “These technologies also deliver greater efficiency and faster deployment of AI systems.”
Executives say the objective is to secure long-term supply for next-generation AI accelerators, CPUs, and GPUs. They note that demand from cloud and data center clients continues to grow.
New CPUs and GPUs Aimed at AI Workloads
Alongside the investment, AMD is preparing new chips built for heavy AI workloads in servers and large clusters. The company’s sixth-generation AMD EPYC CPUs, codenamed Venice, will use advanced packaging with high-bandwidth memory and 3D hybrid bonding to boost performance and efficiency.
AMD will pair its Venice CPUs with the next AMD Instinct MI450X GPUs in a new rack-scale AI platform called Helios. According to the company, Helios is on track for “multi-gigawatt deployments” starting in the second half of 2026. The platform targets customers who want a full AI infrastructure rather than just standalone chips.
Why Taiwan Sits at the Center of AMD’s Strategy
Taiwan already hosts some of the world’s most advanced fabs and packaging lines. It also plays a central role in the global AI chip supply.
AMD says it will work closely with Taiwan-based ASE and its unit SPIL on EFB-based 2.5D packaging. The company will also focus on high-bandwidth memory integration and 3D hybrid bonding to increase interconnect bandwidth between chips.
Lisa Su, AMD’s chair and CEO, said,
“As AI adoption accelerates, our global customers are rapidly scaling AI infrastructure to meet growing compute demand.” She added that AMD is “combining AMD’s leadership in high-performance computing with Taiwan’s ecosystem and our strategic global partners to deliver integrated, rack-scale AI infrastructure.”
For cloud providers, hyperscalers, and AI builders, AMD’s $10 billion bet could mean more options and a greater supply of high-performance CPUs and GPUs. These benefits are likely to appear over the next few years as new capacity comes online.
As AMD ramps up its Taiwan-based supply chain, it says it wants to reduce bottlenecks in getting AI hardware to customers. The company also aims to help customers deploy new AI systems more quickly by reducing wait times and improving availability.
Analysts note that AMD’s move comes as major chip makers race to expand capacity in key hubs like Taiwan to keep up with AI demand.
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